Kubernetes + Qdrant Jobs in 2026

Kubernetes and Qdrant frequently appear together in AI job postings, with 46 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $266K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

46
Job Count
$122K
Avg Min Salary
$266K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Kubernetes + Qdrant?

Kubernetes and Qdrant appear together in 46 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.

Top Roles Requiring Kubernetes + Qdrant

AI/ML Engineer 33 jobs
AI Software Engineer 11 jobs
MLOps Engineer 1 jobs
AI Agent Developer 1 jobs

Career Impact

Professionals who combine Kubernetes and Qdrant earn a median salary ceiling of $266K, compared to $228K for Kubernetes alone and $253K for Qdrant alone. This 11% premium reflects the market values the integration of these two skills — employers pay more for candidates who can work across both rather than hiring separate specialists.

Top Companies Hiring for Kubernetes + Qdrant

Salary Comparison: Combo vs Individual Skills

Kubernetes Only
$228K
792 jobs
+17% vs combo
Kubernetes + Qdrant
$266K
46 jobs
Qdrant Only
$253K
55 jobs
+5% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 46 positions require both Kubernetes and Qdrant skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Qdrant pay an average of $122K to $266K based on 25 postings with disclosed compensation.
Jobs requiring both Kubernetes and Qdrant pay $266K on average (max), compared to $228K for Kubernetes alone and $253K for Qdrant alone. That represents a 11% premium for having both skills.
The most common roles requiring both Kubernetes and Qdrant are: AI/ML Engineer, AI Software Engineer, MLOps Engineer, AI Agent Developer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.

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Methodology

Skill co-occurrence data is derived from 46 job postings that list both Kubernetes and Qdrant as required or preferred skills. Salary data includes only postings with disclosed compensation ranges. Data is updated weekly from major job boards and company career pages.